Triple
T2884167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia Basin Project |
E59466
|
entity |
| Predicate | plannedIrrigatedArea |
P6177
|
FINISHED |
| Object | about 1,100,000 acres |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: about 1,100,000 acres | Statement: [Columbia Basin Project, plannedIrrigatedArea, about 1,100,000 acres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedIrrigatedArea Context triple: [Columbia Basin Project, plannedIrrigatedArea, about 1,100,000 acres]
-
A.
hasIrrigationArea
chosen
Indicates that an entity possesses or is associated with a specific area of land equipped or designated for irrigation.
-
B.
hasIrrigation
Indicates that an entity is equipped with or benefits from an irrigation system supplying water.
-
C.
irrigationProjectIn
Indicates that an irrigation project is located within or implemented in a specified geographic or administrative area.
-
D.
irrigates
Indicates that one entity supplies water to another, typically land or crops, for the purpose of supporting growth or maintaining moisture.
-
E.
nearIrrigationProject
Indicates that one entity is located close to or in the vicinity of an irrigation project.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe02e0ec48190b969ed921d179560 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.